Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| IEEE Transactions on Learning… | 2 |
Author
| Astin C. H. Wu | 1 |
| Chen Li | 1 |
| Jingxu Zhang | 1 |
| Ken S. K. Tai | 1 |
| Li Liu | 1 |
| Lucy Michael Nyagoga | 1 |
| Ming Liu | 1 |
| Peter H. F. Ng | 1 |
| Peter Q. Chen | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ming Liu; Jingxu Zhang; Lucy Michael Nyagoga; Li Liu – IEEE Transactions on Learning Technologies, 2024
Student question generation (SQG) is an effective strategy for improving reading comprehension. It helps students improve their understanding of reading materials, metacognitively monitor their comprehension, and self-correct comprehension gaps. Internet technologies have been used to facilitate SQG process through intensive peer support. However,…
Descriptors: Reading Comprehension, Questioning Techniques, Educational Technology, Artificial Intelligence
Peter H. F. Ng; Peter Q. Chen; Astin C. H. Wu; Ken S. K. Tai; Chen Li – IEEE Transactions on Learning Technologies, 2024
This study examines a practical teaching and learning cycle tailored to integrate cutting-edge technologies (artificial intelligence (AI) and machine learning (ML) game development) and social entrepreneurship within a "STEM with meaning" approach. This cycle, rooted in service learning and the 5E constructivist teaching model (engage,…
Descriptors: Artificial Intelligence, STEM Education, Educational Games, Service Learning

Peer reviewed
Direct link
